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AI+ Security Compliance Practitioner™

Empowering Compliance Through AI

AI+ Security Compliance Practitioner™ badge

Certificate code

AT-230

Duration

Instructor-Led: 5 days (live or virtual) Self-Paced: 40 hours of content

Exam format

50 questions, 70% passing, 90 minutes, online proctored exam

Includes

Instructor-led OR Self-paced course + Official exam + Digital badge

Our pricing

Technical

Technical course options

Instructor-led pricing appears only when we have an open cohort for the programme.

Self-paced

NGN 283,500

NGN 358,500

Independent learning with certification preparation support.

Programme overview

Certification preparation delivered with Stackron Academy support

The AI+ Security Compliance Practitioner™ is an advanced certification that merges the fundamental principles of cybersecurity compliance with the transformative power of artificial intelligence (AI). Building on the CISSP framework, this certification focuses on how AI can enhance compliance processes, improve risk management, and ensure robust security measures in alignment with regulatory standards. This certification validates knowledge of core principles of cyber security compliance, and assesses understanding of how AI can enhance security posture. This certification structure integrates comprehensive cybersecurity compliance principles with advanced AI applications, validating candidate competency in ensuring compliance and enhancing security through AI technologies.

Prerequisites

Basic cybersecurity, networking, programming, and AI/ML fundamentals.

Certification modules

1

Module 1: Foundations of AI-Enabled Security Compliance

1.1 Fundamentals of Security Compliance 1.2 Fundamentals of AI for Compliance Professionals 1.3 Applications of AI Across the Compliance Lifecycle 1.4 Case Study: Manual Compliance Process Causing Audit Delays 1.5 Use Case: AI Compliance Assistant for a Growing Organization

2

Module 2: Using AI to Interpret Security Standards and Requirements

2.1 Understanding Security Frameworks and Standards 2.2 AI-Assisted Requirement Interpretation 2.3 AI-Enabled Control Mapping 2.4 Case Study: Multiple Framework Compliance at a Technology Company 2.5 Use Case: AI-Based Cross-Framework Control Mapping

3

Module 3: AI-Assisted Security Risk and Compliance Gap Assessment

3.1 Security Risk Assessment Fundamentals 3.2 Using AI for Security Risk Identification 3.3 AI-Driven Compliance Gap Assessment 3.4 Case Study: Compliance Gaps Following a Security Assessment 3.5 Use Case: AI-Assisted Security Risk Register

4

Module 4: AI for Security Policy and Procedure Management

4.1 Security Governance Documentation 4.2 Using AI to Create and Improve Security Policies 4.3 AI for Policy Compliance Monitoring 4.4 Case Study: Outdated Information Security Policies 4.5 Use Case: AI Policy Review Assistant

5

Module 5: AI for Control Implementation and Evidence Management

5.1 Security Control Implementation 5.2 AI-Assisted Control Design and Documentation 5.3 AI-Enabled Evidence Management 5.4 Case Study: Incomplete Evidence During a Compliance Audit 5.5 Use Case: AI-Based Compliance Evidence Reviewer

6

Module 6: AI for Third-Party Security Compliance

6.1 Third-Party Security Risk 6.2 AI-Assisted Vendor Security Assessment 6.3 AI for Continuous Third-Party Monitoring 6.4 Case Study: Critical Cloud Vendor with Security Deficiencies 6.5 Use Case: AI Vendor Security Review Assistant

7

Module 7: AI for Compliance Monitoring, Incident Management, and Auditing

7.1 AI-Enabled Compliance Monitoring 7.2 AI for Security Incident Compliance 7.3 AI-Assisted Security Auditing 7.4 Case Study: Repeated Control Failures Before an Audit 7.5 Use Case: AI Security Compliance Monitoring Dashboard

8

Module 8: AI-Powered Security Compliance Program and Capstone

8.1 Establishing an AI-Enabled Compliance Program 8.2 Governance of AI Used for Compliance 8.3 AI Agents for Compliance Automation 8.4 Case Study: Organization-Wide AI Compliance Transformation 8.5 Use Case: AI-Powered Security Compliance Control Tower 8.6 Capstone Hands-on: Build an End-to-End AI-Powered Security Compliance Program

9

Optional Module: AI Agents Security Compliance

1.1 What Are AI Agents? 1.2 Key Capabilities of AI Agents in Cyber Security Compliance 1.3 Applications and Trends for AI Agents in Security Compliance 1.4 How Does an AI Agent Work? 1.5 Core Characteristics of AI Agents 1.6 Types of AI Agents

Why this certification matters

Comprehensive Cybersecurity Knowledge

Validates comprehensive knowledge of cybersecurity compliance, aligned with the CISSP framework, to demonstrate competency in safeguarding organizations.

AI-Powered Risk Management

Validates capability in AI can enhance risk management practices, offering smarter solutions to mitigate security threats.

Regulatory Compliance Integration

Understand how to align AI-driven security measures with evolving regulatory standards, ensuring legal compliance.

Advanced Security Posture

Demonstrates competency in enhancing your organization's security posture by applying AI technologies to strengthen defense mechanisms.

In-Demand Expertise

Validates your competency with cutting-edge AI and cybersecurity compliance knowledge, positioning you as a leader in the industry.

Who should enroll

Cybersecurity Professionals: Enhance skills in compliance, security management, and AI-driven security practices.

Risk Management Specialists: Learn AI-based approaches for risk assessment and mitigation.

Compliance Officers: Apply AI to improve regulatory compliance processes and security governance.

IT Security Analysts: Integrate AI technologies into security frameworks and operations.

Tools covered

Checkmarx logo

Checkmarx

Snyk logo

Snyk

Nmap logo

Nmap

Wireshark logo

Wireshark

Burp Suite logo

Burp Suite

Nessus logo

Nessus

Splunk logo

Splunk

IBM QRadar logo

IBM QRadar

Palo Alto Cortex XSOAR logo

Palo Alto Cortex XSOAR

Microsoft Sentinel logo

Microsoft Sentinel

Prepare for this AI CERTs® certification with Stackron Academy

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